Core Insights - GoGo AI Network Inc. announced the successful deployment of an AI-based decision support system by its portfolio company, Algo8 Industrial AI, for a major publicly listed Indian steel and infrastructure group [1] Deployment Scope - The customer operates complex steelmaking facilities that include Electric Arc Furnaces (EAFs), Ladle Refining Furnaces (LRFs), auxiliary steelmaking units, and a dedicated captive power plant, emphasizing the need for efficient energy allocation to manage fluctuating load conditions [3] Solution Overview - Algo8's PlantBrain platform utilizes machine-learning models to analyze real-time power consumption and generate actionable recommendations, enhancing power scheduling and operational resilience [4] - The Power Schedule Mode automates the generation of forward-looking power distribution plans, improving visibility and coordination during unplanned events [4] Strategic Importance - The deployment signifies the increasing adoption of industrial AI solutions in large-scale manufacturing, highlighting Algo8's capability to deliver measurable efficiency gains [5] - The implementation showcases AI's role in optimizing complex energy systems, supporting intelligent and sustainable industrial operations [5] Performance Metrics - Optimization trials indicated average export power savings of approximately 4.39 megawatts (MW) and improved export efficiency, alongside a significant reduction in infirm/unscheduled power without negatively impacting production throughput [7] - Digitalized operational logbooks enhanced workforce productivity by approximately 10.3 labor hours per day, translating to over 3,700 hours annually [7] Operational Optimization - The system recommends start/stop strategies for refining furnaces, predicts optimal ramp-up and ramp-down levels for captive power generation, and improves utilization of import limits while reducing unnecessary power wastage [8]